BAROMÈTRE SANTÉ JEUNE 2019 (BSJ-2019)

BAROMÈTRE SANTÉ JEUNE 2019 (BSJ-2019)

Source : https://data.gouv.nc/explore/dataset/bsj-2019/information

!pip install pandas seaborn dataprep

Requirement already satisfied: pandas in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (1.4.2)
Requirement already satisfied: seaborn in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (0.11.2)

Collecting dataprep

  Downloading dataprep-0.4.3-py3-none-any.whl (9.5 MB)
?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/9.5 MB ? eta -:--:--

     ━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.2/9.5 MB 65.8 MB/s eta 0:00:01
     ━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 6.4/9.5 MB 89.3 MB/s eta 0:00:01

     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 9.5/9.5 MB 100.4 MB/s eta 0:00:01
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 9.5/9.5 MB 71.3 MB/s eta 0:00:00
?25h

Requirement already satisfied: numpy>=1.18.5 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from pandas) (1.22.4)
Requirement already satisfied: pytz>=2020.1 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from pandas) (2022.1)
Requirement already satisfied: python-dateutil>=2.8.1 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from pandas) (2.8.2)
Requirement already satisfied: scipy>=1.0 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from seaborn) (1.8.1)
Requirement already satisfied: matplotlib>=2.2 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from seaborn) (3.5.2)

Collecting metaphone<0.7,>=0.6
  Downloading Metaphone-0.6.tar.gz (14 kB)

  Preparing metadata (setup.py) ... ?25l-

 done

?25hCollecting flask<3,>=2
  Downloading Flask-2.1.2-py3-none-any.whl (95 kB)
?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/95.2 kB ? eta -:--:--
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 95.2/95.2 kB 17.9 MB/s eta 0:00:00
?25h

Collecting wordcloud<2.0,>=1.8
  Downloading wordcloud-1.8.1-cp38-cp38-manylinux1_x86_64.whl (371 kB)
?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/372.0 kB ? eta -:--:--
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 372.0/372.0 kB 58.6 MB/s eta 0:00:00
?25hCollecting varname<0.9.0,>=0.8.1

  Downloading varname-0.8.3-py3-none-any.whl (21 kB)
Collecting python-Levenshtein<0.13.0,>=0.12.2
  Downloading python-Levenshtein-0.12.2.tar.gz (50 kB)
?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/50.5 kB ? eta -:--:--
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 50.5/50.5 kB 14.0 MB/s eta 0:00:00
?25h

  Preparing metadata (setup.py) ... ?25l-

 done
?25hRequirement already satisfied: ipywidgets<8.0,>=7.5 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from dataprep) (7.7.0)
Requirement already satisfied: jinja2<4,>=3 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from dataprep) (3.0.3)

Collecting python-crfsuite<0.10.0,>=0.9.7
  Downloading python_crfsuite-0.9.8-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.0 MB)
?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/1.0 MB ? eta -:--:--

     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.0/1.0 MB 70.9 MB/s eta 0:00:00
?25h

Collecting pydantic<2.0,>=1.6
  Downloading pydantic-1.9.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.7 MB)
?25l

     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/12.7 MB ? eta -:--:--
     ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.2/12.7 MB 105.7 MB/s eta 0:00:01

     ━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━ 7.8/12.7 MB 103.0 MB/s eta 0:00:01

     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 12.7/12.7 MB 117.2 MB/s eta 0:00:01

     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 12.7/12.7 MB 117.2 MB/s eta 0:00:01
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 12.7/12.7 MB 66.1 MB/s eta 0:00:00
?25h

Requirement already satisfied: sqlalchemy<2.0.0,>=1.4.32 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from dataprep) (1.4.36)

Collecting tqdm<5.0,>=4.48

  Downloading tqdm-4.64.0-py2.py3-none-any.whl (78 kB)
?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/78.4 kB ? eta -:--:--
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 78.4/78.4 kB 13.9 MB/s eta 0:00:00
?25h

Collecting scipy>=1.0
  Downloading scipy-1.7.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl (28.4 MB)
?25l

     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/28.4 MB ? eta -:--:--
     ━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.3/28.4 MB 181.2 MB/s eta 0:00:01

     ━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━ 12.3/28.4 MB 171.0 MB/s eta 0:00:01

     ━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━ 18.3/28.4 MB 166.3 MB/s eta 0:00:01
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 24.3/28.4 MB 171.3 MB/s eta 0:00:01

     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 28.4/28.4 MB 165.0 MB/s eta 0:00:01

     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 28.4/28.4 MB 165.0 MB/s eta 0:00:01

     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 28.4/28.4 MB 165.0 MB/s eta 0:00:01
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 28.4/28.4 MB 56.7 MB/s eta 0:00:00
?25h

Collecting aiohttp<4.0,>=3.6
  Downloading aiohttp-3.8.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.3 MB)
?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/1.3 MB ? eta -:--:--

     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.3/1.3 MB 82.9 MB/s eta 0:00:00
?25hCollecting jsonpath-ng<2.0,>=1.5
  Downloading jsonpath_ng-1.5.3-py3-none-any.whl (29 kB)

Collecting nltk<4.0.0,>=3.6.7
  Downloading nltk-3.7-py3-none-any.whl (1.5 MB)
?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/1.5 MB ? eta -:--:--
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.5/1.5 MB 94.9 MB/s eta 0:00:00
?25h

Collecting dask[array,dataframe,delayed]<2022.0,>=2021.11

  Downloading dask-2021.12.0-py3-none-any.whl (1.0 MB)
?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/1.0 MB ? eta -:--:--
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.0/1.0 MB 81.9 MB/s eta 0:00:00
?25h

Collecting bokeh<3,>=2
  Downloading bokeh-2.4.3-py3-none-any.whl (18.5 MB)
?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/18.5 MB ? eta -:--:--

     ━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.0/18.5 MB 179.7 MB/s eta 0:00:01

     ━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━ 12.0/18.5 MB 170.5 MB/s eta 0:00:01
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 18.0/18.5 MB 169.7 MB/s eta 0:00:01

     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 18.5/18.5 MB 158.6 MB/s eta 0:00:01

     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 18.5/18.5 MB 158.6 MB/s eta 0:00:01
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 18.5/18.5 MB 72.6 MB/s eta 0:00:00
?25h

Collecting flask_cors<4.0.0,>=3.0.10
  Downloading Flask_Cors-3.0.10-py2.py3-none-any.whl (14 kB)

Collecting python-stdnum<2.0,>=1.16
  Downloading python_stdnum-1.17-py2.py3-none-any.whl (943 kB)
?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/943.4 kB ? eta -:--:--
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 943.4/943.4 kB 67.2 MB/s eta 0:00:00
?25h

Collecting pystache<0.7.0,>=0.6.0
  Downloading pystache-0.6.0.tar.gz (78 kB)
?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/78.2 kB ? eta -:--:--
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 78.2/78.2 kB 22.1 MB/s eta 0:00:00
?25h

  Installing build dependencies ... ?25l-

 \

 |

 /

 done

?25h  Getting requirements to build wheel ... ?25l-

 \

 |

 /

 -

 done

?25h  Preparing metadata (pyproject.toml) ... ?25l-

 \

 |

 /

 -

 done

?25hCollecting regex<2022.0.0,>=2021.8.3

  Downloading regex-2021.11.10-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (764 kB)
?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/764.7 kB ? eta -:--:--
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 764.7/764.7 kB 62.7 MB/s eta 0:00:00
?25hRequirement already satisfied: attrs>=17.3.0 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from aiohttp<4.0,>=3.6->dataprep) (21.4.0)

Collecting multidict<7.0,>=4.5
  Downloading multidict-6.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (121 kB)
?25l

     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/121.3 kB ? eta -:--:--
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 121.3/121.3 kB 35.2 MB/s eta 0:00:00
?25hCollecting aiosignal>=1.1.2
  Downloading aiosignal-1.2.0-py3-none-any.whl (8.2 kB)
Requirement already satisfied: charset-normalizer<3.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from aiohttp<4.0,>=3.6->dataprep) (2.0.12)

Collecting frozenlist>=1.1.1

  Downloading frozenlist-1.3.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (158 kB)
?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/158.7 kB ? eta -:--:--
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 158.7/158.7 kB 39.3 MB/s eta 0:00:00
?25h

Collecting yarl<2.0,>=1.0
  Downloading yarl-1.7.2-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (308 kB)
?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/308.6 kB ? eta -:--:--
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 308.6/308.6 kB 47.8 MB/s eta 0:00:00
?25h

Collecting async-timeout<5.0,>=4.0.0a3
  Downloading async_timeout-4.0.2-py3-none-any.whl (5.8 kB)

Collecting typing-extensions>=3.10.0
  Downloading typing_extensions-4.2.0-py3-none-any.whl (24 kB)
Requirement already satisfied: pillow>=7.1.0 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from bokeh<3,>=2->dataprep) (9.1.1)
Requirement already satisfied: PyYAML>=3.10 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from bokeh<3,>=2->dataprep) (6.0)
Requirement already satisfied: tornado>=5.1 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from bokeh<3,>=2->dataprep) (6.1)
Requirement already satisfied: packaging>=16.8 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from bokeh<3,>=2->dataprep) (21.3)

Collecting cloudpickle>=1.1.1
  Downloading cloudpickle-2.1.0-py3-none-any.whl (25 kB)

Collecting toolz>=0.8.2
  Downloading toolz-0.11.2-py3-none-any.whl (55 kB)
?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/55.8 kB ? eta -:--:--
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 55.8/55.8 kB 15.1 MB/s eta 0:00:00
?25hCollecting partd>=0.3.10

  Downloading partd-1.2.0-py3-none-any.whl (19 kB)

Collecting fsspec>=0.6.0
  Downloading fsspec-2022.5.0-py3-none-any.whl (140 kB)
?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/140.6 kB ? eta -:--:--
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 140.6/140.6 kB 36.5 MB/s eta 0:00:00
?25hRequirement already satisfied: importlib-metadata>=3.6.0 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from flask<3,>=2->dataprep) (4.11.4)

Collecting Werkzeug>=2.0
  Downloading Werkzeug-2.1.2-py3-none-any.whl (224 kB)
?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/224.9 kB ? eta -:--:--

     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 224.9/224.9 kB 22.4 MB/s eta 0:00:00
?25hRequirement already satisfied: click>=8.0 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from flask<3,>=2->dataprep) (8.1.3)
Collecting itsdangerous>=2.0
  Downloading itsdangerous-2.1.2-py3-none-any.whl (15 kB)
Requirement already satisfied: Six in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from flask_cors<4.0.0,>=3.0.10->dataprep) (1.16.0)

Requirement already satisfied: ipython>=4.0.0 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from ipywidgets<8.0,>=7.5->dataprep) (8.3.0)
Requirement already satisfied: ipykernel>=4.5.1 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from ipywidgets<8.0,>=7.5->dataprep) (6.13.0)
Requirement already satisfied: jupyterlab-widgets>=1.0.0 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from ipywidgets<8.0,>=7.5->dataprep) (1.1.0)
Requirement already satisfied: ipython-genutils~=0.2.0 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from ipywidgets<8.0,>=7.5->dataprep) (0.2.0)
Requirement already satisfied: nbformat>=4.2.0 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from ipywidgets<8.0,>=7.5->dataprep) (5.4.0)
Requirement already satisfied: traitlets>=4.3.1 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from ipywidgets<8.0,>=7.5->dataprep) (5.2.1.post0)
Requirement already satisfied: widgetsnbextension~=3.6.0 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from ipywidgets<8.0,>=7.5->dataprep) (3.6.0)
Requirement already satisfied: MarkupSafe>=2.0 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from jinja2<4,>=3->dataprep) (2.1.1)
Requirement already satisfied: decorator in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from jsonpath-ng<2.0,>=1.5->dataprep) (5.1.1)
Collecting ply

  Downloading ply-3.11-py2.py3-none-any.whl (49 kB)
?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/49.6 kB ? eta -:--:--
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 49.6/49.6 kB 14.0 MB/s eta 0:00:00
?25hRequirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from matplotlib>=2.2->seaborn) (0.11.0)
Requirement already satisfied: kiwisolver>=1.0.1 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from matplotlib>=2.2->seaborn) (1.4.2)
Requirement already satisfied: pyparsing>=2.2.1 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from matplotlib>=2.2->seaborn) (3.0.9)
Requirement already satisfied: fonttools>=4.22.0 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from matplotlib>=2.2->seaborn) (4.33.3)
Requirement already satisfied: joblib in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from nltk<4.0.0,>=3.6.7->dataprep) (1.1.0)

Requirement already satisfied: setuptools in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from python-Levenshtein<0.13.0,>=0.12.2->dataprep) (56.0.0)

Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from sqlalchemy<2.0.0,>=1.4.32->dataprep) (1.1.2)

Requirement already satisfied: executing<0.9.0,>=0.8.3 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from varname<0.9.0,>=0.8.1->dataprep) (0.8.3)
Requirement already satisfied: asttokens<3.0.0,>=2.0.0 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from varname<0.9.0,>=0.8.1->dataprep) (2.0.5)
Requirement already satisfied: pure_eval<1.0.0 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from varname<0.9.0,>=0.8.1->dataprep) (0.2.2)

Requirement already satisfied: zipp>=0.5 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from importlib-metadata>=3.6.0->flask<3,>=2->dataprep) (3.8.0)
Requirement already satisfied: nest-asyncio in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from ipykernel>=4.5.1->ipywidgets<8.0,>=7.5->dataprep) (1.5.5)
Requirement already satisfied: jupyter-client>=6.1.12 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from ipykernel>=4.5.1->ipywidgets<8.0,>=7.5->dataprep) (7.3.1)
Requirement already satisfied: psutil in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from ipykernel>=4.5.1->ipywidgets<8.0,>=7.5->dataprep) (5.9.1)
Requirement already satisfied: matplotlib-inline>=0.1 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from ipykernel>=4.5.1->ipywidgets<8.0,>=7.5->dataprep) (0.1.3)
Requirement already satisfied: debugpy>=1.0 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from ipykernel>=4.5.1->ipywidgets<8.0,>=7.5->dataprep) (1.6.0)

Requirement already satisfied: pygments>=2.4.0 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from ipython>=4.0.0->ipywidgets<8.0,>=7.5->dataprep) (2.12.0)
Requirement already satisfied: jedi>=0.16 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from ipython>=4.0.0->ipywidgets<8.0,>=7.5->dataprep) (0.18.1)
Requirement already satisfied: stack-data in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from ipython>=4.0.0->ipywidgets<8.0,>=7.5->dataprep) (0.2.0)
Requirement already satisfied: pexpect>4.3 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from ipython>=4.0.0->ipywidgets<8.0,>=7.5->dataprep) (4.8.0)
Requirement already satisfied: prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from ipython>=4.0.0->ipywidgets<8.0,>=7.5->dataprep) (3.0.29)
Requirement already satisfied: backcall in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from ipython>=4.0.0->ipywidgets<8.0,>=7.5->dataprep) (0.2.0)
Requirement already satisfied: pickleshare in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from ipython>=4.0.0->ipywidgets<8.0,>=7.5->dataprep) (0.7.5)

Requirement already satisfied: jsonschema>=2.6 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from nbformat>=4.2.0->ipywidgets<8.0,>=7.5->dataprep) (3.2.0)
Requirement already satisfied: fastjsonschema in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from nbformat>=4.2.0->ipywidgets<8.0,>=7.5->dataprep) (2.15.3)
Requirement already satisfied: jupyter-core in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from nbformat>=4.2.0->ipywidgets<8.0,>=7.5->dataprep) (4.10.0)

Collecting locket
  Downloading locket-1.0.0-py2.py3-none-any.whl (4.4 kB)

Requirement already satisfied: notebook>=4.4.1 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from widgetsnbextension~=3.6.0->ipywidgets<8.0,>=7.5->dataprep) (6.4.11)
Requirement already satisfied: idna>=2.0 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from yarl<2.0,>=1.0->aiohttp<4.0,>=3.6->dataprep) (3.3)

Requirement already satisfied: parso<0.9.0,>=0.8.0 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from jedi>=0.16->ipython>=4.0.0->ipywidgets<8.0,>=7.5->dataprep) (0.8.3)

Requirement already satisfied: pyrsistent>=0.14.0 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from jsonschema>=2.6->nbformat>=4.2.0->ipywidgets<8.0,>=7.5->dataprep) (0.18.1)
Requirement already satisfied: pyzmq>=22.3 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from jupyter-client>=6.1.12->ipykernel>=4.5.1->ipywidgets<8.0,>=7.5->dataprep) (23.0.0)
Requirement already satisfied: entrypoints in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from jupyter-client>=6.1.12->ipykernel>=4.5.1->ipywidgets<8.0,>=7.5->dataprep) (0.4)

Requirement already satisfied: argon2-cffi in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets<8.0,>=7.5->dataprep) (21.3.0)
Requirement already satisfied: prometheus-client in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets<8.0,>=7.5->dataprep) (0.14.1)
Requirement already satisfied: terminado>=0.8.3 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets<8.0,>=7.5->dataprep) (0.15.0)
Requirement already satisfied: nbconvert>=5 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets<8.0,>=7.5->dataprep) (6.5.0)
Requirement already satisfied: Send2Trash>=1.8.0 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets<8.0,>=7.5->dataprep) (1.8.0)

Requirement already satisfied: ptyprocess>=0.5 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from pexpect>4.3->ipython>=4.0.0->ipywidgets<8.0,>=7.5->dataprep) (0.7.0)
Requirement already satisfied: wcwidth in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0->ipython>=4.0.0->ipywidgets<8.0,>=7.5->dataprep) (0.2.5)

Requirement already satisfied: nbclient>=0.5.0 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from nbconvert>=5->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets<8.0,>=7.5->dataprep) (0.5.13)

Requirement already satisfied: bleach in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from nbconvert>=5->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets<8.0,>=7.5->dataprep) (5.0.0)
Requirement already satisfied: defusedxml in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from nbconvert>=5->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets<8.0,>=7.5->dataprep) (0.7.1)
Requirement already satisfied: mistune<2,>=0.8.1 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from nbconvert>=5->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets<8.0,>=7.5->dataprep) (0.8.4)
Requirement already satisfied: tinycss2 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from nbconvert>=5->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets<8.0,>=7.5->dataprep) (1.1.1)
Requirement already satisfied: jupyterlab-pygments in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from nbconvert>=5->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets<8.0,>=7.5->dataprep) (0.2.2)
Requirement already satisfied: beautifulsoup4 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from nbconvert>=5->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets<8.0,>=7.5->dataprep) (4.11.1)
Requirement already satisfied: pandocfilters>=1.4.1 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from nbconvert>=5->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets<8.0,>=7.5->dataprep) (1.5.0)

Requirement already satisfied: argon2-cffi-bindings in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets<8.0,>=7.5->dataprep) (21.2.0)

Requirement already satisfied: cffi>=1.0.1 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from argon2-cffi-bindings->argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets<8.0,>=7.5->dataprep) (1.15.0)

Requirement already satisfied: soupsieve>1.2 in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from beautifulsoup4->nbconvert>=5->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets<8.0,>=7.5->dataprep) (2.3.2.post1)
Requirement already satisfied: webencodings in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from bleach->nbconvert>=5->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets<8.0,>=7.5->dataprep) (0.5.1)

Requirement already satisfied: pycparser in /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages (from cffi>=1.0.1->argon2-cffi-bindings->argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets<8.0,>=7.5->dataprep) (2.21)

Building wheels for collected packages: metaphone, pystache, python-Levenshtein

  Building wheel for metaphone (setup.py) ... ?25l-

 done
?25h  Created wheel for metaphone: filename=Metaphone-0.6-py3-none-any.whl size=13905 sha256=2799916a5e0ccaafd6763269759132e1a7d2b7e366254566194ceaa74cb8f46f
  Stored in directory: /home/runner/.cache/pip/wheels/ea/4e/3b/0634f08a7980461ad630fa4147cbd25913b008b4a02992ba66

  Building wheel for pystache (pyproject.toml) ... ?25l-

 \

 |

 /

 -

 \

 |

 done
?25h  Created wheel for pystache: filename=pystache-0.6.0-py3-none-any.whl size=83618 sha256=0907f0620b267aa556481fd4894e6f2795dfe6df9514953b0db4a68a46028169
  Stored in directory: /home/runner/.cache/pip/wheels/b1/d4/cc/b2293fa560ba9e1c5724843437688e20235fcbdc211cb37e37

  Building wheel for python-Levenshtein (setup.py) ... ?25l-

 \

 |

 /

 done
?25h  Created wheel for python-Levenshtein: filename=python_Levenshtein-0.12.2-cp38-cp38-linux_x86_64.whl size=184990 sha256=a1c2c3730eebf0c504a4081af5329f0f08b30e45dda95f898917b87a8b118962
  Stored in directory: /home/runner/.cache/pip/wheels/d7/0c/76/042b46eb0df65c3ccd0338f791210c55ab79d209bcc269e2c7
Successfully built metaphone pystache python-Levenshtein

Installing collected packages: regex, python-stdnum, python-crfsuite, ply, metaphone, Werkzeug, typing-extensions, tqdm, toolz, scipy, python-Levenshtein, pystache, multidict, locket, jsonpath-ng, itsdangerous, fsspec, frozenlist, cloudpickle, async-timeout, yarl, varname, pydantic, partd, nltk, flask, bokeh, aiosignal, wordcloud, flask_cors, dask, aiohttp, dataprep

  Attempting uninstall: scipy
    Found existing installation: scipy 1.8.1

    Uninstalling scipy-1.8.1:
      Successfully uninstalled scipy-1.8.1

Successfully installed Werkzeug-2.1.2 aiohttp-3.8.1 aiosignal-1.2.0 async-timeout-4.0.2 bokeh-2.4.3 cloudpickle-2.1.0 dask-2021.12.0 dataprep-0.4.3 flask-2.1.2 flask_cors-3.0.10 frozenlist-1.3.0 fsspec-2022.5.0 itsdangerous-2.1.2 jsonpath-ng-1.5.3 locket-1.0.0 metaphone-0.6 multidict-6.0.2 nltk-3.7 partd-1.2.0 ply-3.11 pydantic-1.9.1 pystache-0.6.0 python-Levenshtein-0.12.2 python-crfsuite-0.9.8 python-stdnum-1.17 regex-2021.11.10 scipy-1.7.1 toolz-0.11.2 tqdm-4.64.0 typing-extensions-4.2.0 varname-0.8.3 wordcloud-1.8.1 yarl-1.7.2

WARNING: There was an error checking the latest version of pip.


!wget "https://data.gouv.nc/explore/dataset/bsj-2019/download/?format=csv&timezone=Pacific/Noumea&lang=fr&use_labels_for_header=true&csv_separator=%2C" -O data/barometre_jeune_2019.csv
    

--2022-05-24 05:21:53--  https://data.gouv.nc/explore/dataset/bsj-2019/download/?format=csv&timezone=Pacific/Noumea&lang=fr&use_labels_for_header=true&csv_separator=%2C
Resolving data.gouv.nc (data.gouv.nc)... 

13.211.119.48, 13.55.171.246
Connecting to data.gouv.nc (data.gouv.nc)|13.211.119.48|:443... 

connected.

HTTP request sent, awaiting response... 

200 OK
Length: unspecified [application/csv]
Saving to: ‘data/barometre_jeune_2019.csv’


          data/baro     [<=>                 ]       0  --.-KB/s               

         data/barom     [ <=>                ]  36.70K   183KB/s               

        data/barome     [  <=>               ] 100.69K   250KB/s               

       data/baromet     [   <=>              ] 212.65K   352KB/s               

      data/barometr     [    <=>             ] 420.61K   522KB/s               

     data/barometre     [     <=>            ] 868.55K   863KB/s               

    data/barometre_     [      <=>           ]   1.72M  1.43MB/s               

   data/barometre_j     [       <=>          ]   3.46M  2.45MB/s               

  data/barometre_je     [        <=>         ]   4.70M  2.90MB/s               

 data/barometre_jeu     [         <=>        ]   5.57M  2.85MB/s               
data/barometre_jeun     [          <=>       ]   6.44M  3.29MB/s    in 2.0s    

2022-05-24 05:21:57 (3.29 MB/s) - ‘data/barometre_jeune_2019.csv’ saved [6748346]

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
from dataprep.eda import plot

df = pd.read_csv("data/barometre_jeune_2019.csv")
df.head()
N°Obs Date_Enreg Province_Etab Secteur_Etab Niveau_Scolaire CS1 CS2 CS3 Age CS5 ... PR1h PR2a PR2b PR2c PR2d PR2e PR2f PR2g PR2h Pond
0 1 2019-01-07 Province Sud Public 5EME Une fille Collège 5ème 12 Wallisienne, Futunienne ... Plutot bien informe Je ne connais pas le risque Risque plutot eleve Risque nul Je ne connais pas le risque Je ne connais pas le risque Je ne connais pas le risque Risque tres eleve Je ne connais pas le risque 14.818182
1 2 2019-01-07 Province Sud Public 6EME Un garçon Collège 6ème 12 Kanak;Wallisienne, Futunienne ... Je ne sais pas Je ne sais pas ce que c'est Je ne sais pas ce que c'est Je ne sais pas ce que c'est Je ne sais pas ce que c'est Je ne sais pas ce que c'est Je ne sais pas ce que c'est Je ne sais pas ce que c'est Je ne sais pas ce que c'est 14.761290
2 3 2019-01-07 Province Sud Public 5EME Une fille Collège 5ème 13 Kanak;Wallisienne, Futunienne ... Je ne sais pas Risque plutot faible Risque plutot faible Risque plutot faible Risque plutot faible Risque plutot faible Risque plutot faible Risque plutot faible Risque plutot faible 11.261438
3 4 2019-01-07 Province Sud Public 5EME Une fille Collège 5ème 12 Kanak;Ni-Vanuatu;Autres ... Plutot bien informe Risque plutot eleve Risque tres eleve Risque plutot eleve Risque tres eleve Je ne connais pas le risque Risque tres eleve Risque tres eleve Risque tres eleve 14.818182
4 5 2019-01-07 Province Sud Public 6EME Un garçon Collège 6ème 12 Wallisienne, Futunienne ... Plutot bien informe Je ne sais pas ce que c'est Risque plutot faible Je ne sais pas ce que c'est Je ne sais pas ce que c'est Je ne sais pas ce que c'est Je ne sais pas ce que c'est Je ne sais pas ce que c'est Je ne sais pas ce que c'est 14.761290

5 rows × 163 columns

plot(df)
DataPrep.EDA Report
Dataset Statistics
Number of Variables 163
Number of Rows 3435
Missing Cells 189125
Missing Cells (%) 33.8%
Duplicate Rows 0
Duplicate Rows (%) 0.0%
Total Size in Memory 32.4 MB
Average Row Size in Memory 9.7 KB
Variable Types
  • Numerical: 7
  • Categorical: 156
Dataset Insights
N°Obs is uniformly distributed Uniform
CS5_Autre has 3134 (91.24%) missing values Missing
VS5_Autre has 3221 (93.77%) missing values Missing
ES3 has 836 (24.34%) missing values Missing
ES3b has 2416 (70.33%) missing values Missing
ES4 has 962 (28.01%) missing values Missing
ES4b has 2439 (71.0%) missing values Missing
ES7 has 2663 (77.53%) missing values Missing
ES7_Autre has 3357 (97.73%) missing values Missing
ES8 has 1656 (48.21%) missing values Missing
Dataset Insights
ES9 has 2029 (59.07%) missing values Missing
ES9b has 2390 (69.58%) missing values Missing
AS3 has 1805 (52.55%) missing values Missing
AS3_Autre has 3227 (93.94%) missing values Missing
AL4 has 1528 (44.48%) missing values Missing
AL4_Autre has 3321 (96.68%) missing values Missing
AP3 has 487 (14.18%) missing values Missing
AP4 has 487 (14.18%) missing values Missing
AP4_Autre has 3261 (94.93%) missing values Missing
AP5 has 2950 (85.88%) missing values Missing
Dataset Insights
AP5_Autre has 3399 (98.95%) missing values Missing
SM4_Autre has 3152 (91.76%) missing values Missing
SM5 has 903 (26.29%) missing values Missing
CV4a has 1843 (53.65%) missing values Missing
CV4b has 1842 (53.62%) missing values Missing
VI2 has 2882 (83.9%) missing values Missing
VI2_Autre has 3364 (97.93%) missing values Missing
VI3 has 2883 (83.93%) missing values Missing
VI3_Autre has 3406 (99.16%) missing values Missing
VI4 has 2885 (83.99%) missing values Missing
Dataset Insights
VI4_Autre has 3384 (98.52%) missing values Missing
VI6 has 2271 (66.11%) missing values Missing
VI6_Autre has 3320 (96.65%) missing values Missing
VI7 has 2272 (66.14%) missing values Missing
VI7_Autre has 3396 (98.86%) missing values Missing
VI8 has 2273 (66.17%) missing values Missing
VI8_Autre has 3364 (97.93%) missing values Missing
TB2 has 1937 (56.39%) missing values Missing
TB3 has 1914 (55.72%) missing values Missing
TB4 has 2494 (72.61%) missing values Missing
Dataset Insights
TB5 has 2494 (72.61%) missing values Missing
TB6 has 2494 (72.61%) missing values Missing
TB7 has 2494 (72.61%) missing values Missing
AO2a has 2435 (70.89%) missing values Missing
AO2b has 2211 (64.37%) missing values Missing
AO3a has 2200 (64.05%) missing values Missing
AO3b has 2202 (64.1%) missing values Missing
AO3c has 2200 (64.05%) missing values Missing
AO3d has 2202 (64.1%) missing values Missing
AO4 has 2200 (64.05%) missing values Missing
Dataset Insights
AO5 has 2620 (76.27%) missing values Missing
AO6 has 2621 (76.3%) missing values Missing
AO7 has 2620 (76.27%) missing values Missing
AO8 has 2620 (76.27%) missing values Missing
AO9 has 2201 (64.08%) missing values Missing
AO10 has 2701 (78.63%) missing values Missing
AO11 has 2692 (78.37%) missing values Missing
CN2 has 2443 (71.12%) missing values Missing
CN3 has 2431 (70.77%) missing values Missing
CN4 has 2929 (85.27%) missing values Missing
Dataset Insights
CN5 has 2929 (85.27%) missing values Missing
CN6 has 2930 (85.3%) missing values Missing
CN7 has 2930 (85.3%) missing values Missing
AD3 has 3343 (97.32%) missing values Missing
SS1 has 40 (1.16%) missing values Missing
SS2 has 41 (1.19%) missing values Missing
SS3 has 2527 (73.57%) missing values Missing
SS4 has 2513 (73.16%) missing values Missing
SS5 has 2850 (82.97%) missing values Missing
SS6 has 2850 (82.97%) missing values Missing
Dataset Insights
SS6_Autre has 3415 (99.42%) missing values Missing
SS7 has 3149 (91.67%) missing values Missing
SS7_Autre has 3372 (98.17%) missing values Missing
SS8 has 2513 (73.16%) missing values Missing
SS9 has 3138 (91.35%) missing values Missing
SS10 has 2513 (73.16%) missing values Missing
SS11 has 48 (1.4%) missing values Missing
SS12 has 2196 (63.93%) missing values Missing
PR1a has 65 (1.89%) missing values Missing
PR1b has 65 (1.89%) missing values Missing
Dataset Insights
PR1c has 65 (1.89%) missing values Missing
PR1d has 65 (1.89%) missing values Missing
PR1e has 65 (1.89%) missing values Missing
PR1f has 65 (1.89%) missing values Missing
PR1g has 65 (1.89%) missing values Missing
PR1h has 65 (1.89%) missing values Missing
PR2a has 76 (2.21%) missing values Missing
PR2b has 76 (2.21%) missing values Missing
PR2c has 76 (2.21%) missing values Missing
PR2d has 76 (2.21%) missing values Missing
Dataset Insights
PR2e has 76 (2.21%) missing values Missing
PR2f has 76 (2.21%) missing values Missing
PR2g has 76 (2.21%) missing values Missing
PR2h has 76 (2.21%) missing values Missing
ES9 is skewed Skewed
SS3 is skewed Skewed
CS5 has a high cardinality: 103 distinct values High Cardinality
CS5_Autre has a high cardinality: 149 distinct values High Cardinality
VS5 has a high cardinality: 51 distinct values High Cardinality
VS5_Autre has a high cardinality: 178 distinct values High Cardinality
Dataset Insights
ES7 has a high cardinality: 55 distinct values High Cardinality
ES7_Autre has a high cardinality: 69 distinct values High Cardinality
AS3 has a high cardinality: 181 distinct values High Cardinality
AS3_Autre has a high cardinality: 185 distinct values High Cardinality
AL4 has a high cardinality: 71 distinct values High Cardinality
AL4_Autre has a high cardinality: 113 distinct values High Cardinality
AP4 has a high cardinality: 456 distinct values High Cardinality
AP4_Autre has a high cardinality: 170 distinct values High Cardinality
AP5 has a high cardinality: 128 distinct values High Cardinality
SM4 has a high cardinality: 97 distinct values High Cardinality
Dataset Insights
SM4_Autre has a high cardinality: 201 distinct values High Cardinality
VI2_Autre has a high cardinality: 63 distinct values High Cardinality
VI3 has a high cardinality: 51 distinct values High Cardinality
VI4 has a high cardinality: 132 distinct values High Cardinality
VI6_Autre has a high cardinality: 91 distinct values High Cardinality
VI7 has a high cardinality: 80 distinct values High Cardinality
VI8 has a high cardinality: 224 distinct values High Cardinality
VI8_Autre has a high cardinality: 66 distinct values High Cardinality
TB6 has a high cardinality: 55 distinct values High Cardinality
AO8 has a high cardinality: 69 distinct values High Cardinality
Dataset Insights
AD3 has a high cardinality: 67 distinct values High Cardinality
SS7_Autre has a high cardinality: 55 distinct values High Cardinality
SS12 has a high cardinality: 76 distinct values High Cardinality
ES3b has constant value "Je ne sais pas" Constant
ES4b has constant value "Je ne sais pas" Constant
Date_Enreg has constant length 10 Constant Length
CS1 has constant length 9 Constant Length
Age has constant length 2 Constant Length
ES3b has constant length 14 Constant Length
ES4b has constant length 14 Constant Length
Dataset Insights
ES5 has constant length 3 Constant Length
ES6 has constant length 3 Constant Length
ES8 has constant length 3 Constant Length
AS2 has constant length 3 Constant Length
BD2 has constant length 3 Constant Length
BD3 has constant length 3 Constant Length
BD4 has constant length 3 Constant Length
SM6 has constant length 3 Constant Length
SM7 has constant length 3 Constant Length
VI1 has constant length 3 Constant Length
Dataset Insights
VI5 has constant length 3 Constant Length
TB1 has constant length 3 Constant Length
TB3 has constant length 3 Constant Length
TB7 has constant length 3 Constant Length
AO4 has constant length 3 Constant Length
AO9 has constant length 3 Constant Length
CN1 has constant length 3 Constant Length
CN3 has constant length 3 Constant Length
CN7 has constant length 3 Constant Length
AD2 has constant length 3 Constant Length
Dataset Insights
VI3_Autre has all distinct values Unique
VI7_Autre has all distinct values Unique
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
  • 8
  • 9
  • 10
  • 11
  • 12
  • 13
  • 14
  • 15
  • 16

Number of plots per page:

N°Obs
'hist.bins': 50
Number of bins in the histogram
'hist.yscale': 'linear'
Y-axis scale ("linear" or "log")
'hist.color': '#aec7e8'
Color
Column Insights
  1. N°Obs is uniformly distributed
Date_Enreg
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. Date_Enreg has constant length 10
Province_Etab
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Secteur_Etab
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Niveau_Scolaire
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
CS1
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. CS1 has constant length 9
CS2
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
CS3
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Age
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. Age has constant length 2
CS5
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. CS5 has a high cardinality: 103 distinct values
CS5_Autre
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. CS5_Autre has 3134 (91.24%) missing values
  2. CS5_Autre has a high cardinality: 149 distinct values
CS6
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
VF1
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
VF2
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
VF3
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
VF4a
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
VF4b
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
VF4c
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
VS1
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
VS2
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
VS3
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
VS4
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
VS5
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. VS5 has a high cardinality: 51 distinct values
VS5_Autre
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. VS5_Autre has 3221 (93.77%) missing values
  2. VS5_Autre has a high cardinality: 178 distinct values
ES1
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
ES2
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
ES3
'hist.bins': 50
Number of bins in the histogram
'hist.yscale': 'linear'
Y-axis scale ("linear" or "log")
'hist.color': '#aec7e8'
Color
Column Insights
  1. ES3 has 836 (24.34%) missing values
ES3b
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. ES3b has 2416 (70.33%) missing values
  2. ES3b has constant value "Je ne sais pas"
  3. ES3b has constant length 14
ES4
'hist.bins': 50
Number of bins in the histogram
'hist.yscale': 'linear'
Y-axis scale ("linear" or "log")
'hist.color': '#aec7e8'
Color
Column Insights
  1. ES4 has 962 (28.01%) missing values
ES4b
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. ES4b has 2439 (71.0%) missing values
  2. ES4b has constant value "Je ne sais pas"
  3. ES4b has constant length 14
ES5
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. ES5 has constant length 3
ES6
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. ES6 has constant length 3
ES7
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. ES7 has 2663 (77.53%) missing values
  2. ES7 has a high cardinality: 55 distinct values
ES7_Autre
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. ES7_Autre has 3357 (97.73%) missing values
  2. ES7_Autre has a high cardinality: 69 distinct values
ES8
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. ES8 has 1656 (48.21%) missing values
  2. ES8 has constant length 3
ES9
'hist.bins': 50
Number of bins in the histogram
'hist.yscale': 'linear'
Y-axis scale ("linear" or "log")
'hist.color': '#aec7e8'
Color
Column Insights
  1. ES9 has 2029 (59.07%) missing values
  2. ES9 is skewed
ES9b
'hist.bins': 50
Number of bins in the histogram
'hist.yscale': 'linear'
Y-axis scale ("linear" or "log")
'hist.color': '#aec7e8'
Color
Column Insights
  1. ES9b has 2390 (69.58%) missing values
AS1
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
AS2
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. AS2 has constant length 3
AS3
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. AS3 has 1805 (52.55%) missing values
  2. AS3 has a high cardinality: 181 distinct values
AS3_Autre
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. AS3_Autre has 3227 (93.94%) missing values
  2. AS3_Autre has a high cardinality: 185 distinct values
BD1
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
BD2
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. BD2 has constant length 3
BD3
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. BD3 has constant length 3
BD4
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. BD4 has constant length 3
BD5
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
AL1
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
AL2
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
AL3
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
AL4
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. AL4 has 1528 (44.48%) missing values
  2. AL4 has a high cardinality: 71 distinct values
AL4_Autre
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. AL4_Autre has 3321 (96.68%) missing values
  2. AL4_Autre has a high cardinality: 113 distinct values
AL5a
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
AL5b
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
AL5c
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
AL5d
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
AL6a
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
AL6b
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
AL6c
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
AL6d
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
AP1
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
AP2
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
AP3
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. AP3 has 487 (14.18%) missing values
AP4
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. AP4 has 487 (14.18%) missing values
  2. AP4 has a high cardinality: 456 distinct values
AP4_Autre
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. AP4_Autre has 3261 (94.93%) missing values
  2. AP4_Autre has a high cardinality: 170 distinct values
AP5
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. AP5 has 2950 (85.88%) missing values
  2. AP5 has a high cardinality: 128 distinct values
AP5_Autre
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. AP5_Autre has 3399 (98.95%) missing values
SD1
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
SD2
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
SM1
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
SM2a
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
SM2b
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
SM2c
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
SM3
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
SM4
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. SM4 has a high cardinality: 97 distinct values
SM4_Autre
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. SM4_Autre has 3152 (91.76%) missing values
  2. SM4_Autre has a high cardinality: 201 distinct values
SM5
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. SM5 has 903 (26.29%) missing values
SM6
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. SM6 has constant length 3
SM7
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. SM7 has constant length 3
CV1
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
CV2a
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
CV2b
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
CV3
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
CV4a
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. CV4a has 1843 (53.65%) missing values
CV4b
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. CV4b has 1842 (53.62%) missing values
CV5
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
VI1
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. VI1 has constant length 3
VI2
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. VI2 has 2882 (83.9%) missing values
VI2_Autre
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. VI2_Autre has 3364 (97.93%) missing values
  2. VI2_Autre has a high cardinality: 63 distinct values
VI3
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. VI3 has 2883 (83.93%) missing values
  2. VI3 has a high cardinality: 51 distinct values
VI3_Autre
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. VI3_Autre has 3406 (99.16%) missing values
  2. VI3_Autre has all distinct values
VI4
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. VI4 has 2885 (83.99%) missing values
  2. VI4 has a high cardinality: 132 distinct values
VI4_Autre
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. VI4_Autre has 3384 (98.52%) missing values
VI5
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. VI5 has constant length 3
VI6
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. VI6 has 2271 (66.11%) missing values
VI6_Autre
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. VI6_Autre has 3320 (96.65%) missing values
  2. VI6_Autre has a high cardinality: 91 distinct values
VI7
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. VI7 has 2272 (66.14%) missing values
  2. VI7 has a high cardinality: 80 distinct values
VI7_Autre
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. VI7_Autre has 3396 (98.86%) missing values
  2. VI7_Autre has all distinct values
VI8
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. VI8 has 2273 (66.17%) missing values
  2. VI8 has a high cardinality: 224 distinct values
VI8_Autre
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. VI8_Autre has 3364 (97.93%) missing values
  2. VI8_Autre has a high cardinality: 66 distinct values
TB1
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. TB1 has constant length 3
TB2
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. TB2 has 1937 (56.39%) missing values
TB3
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. TB3 has 1914 (55.72%) missing values
  2. TB3 has constant length 3
TB4
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. TB4 has 2494 (72.61%) missing values
TB5
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. TB5 has 2494 (72.61%) missing values
TB6
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. TB6 has 2494 (72.61%) missing values
  2. TB6 has a high cardinality: 55 distinct values
TB7
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. TB7 has 2494 (72.61%) missing values
  2. TB7 has constant length 3
TB8
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
AO1
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
AO2a
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. AO2a has 2435 (70.89%) missing values
AO2b
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. AO2b has 2211 (64.37%) missing values
AO3a
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. AO3a has 2200 (64.05%) missing values
AO3b
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. AO3b has 2202 (64.1%) missing values
AO3c
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. AO3c has 2200 (64.05%) missing values
AO3d
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. AO3d has 2202 (64.1%) missing values
AO4
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. AO4 has 2200 (64.05%) missing values
  2. AO4 has constant length 3
AO5
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. AO5 has 2620 (76.27%) missing values
AO6
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. AO6 has 2621 (76.3%) missing values
AO7
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. AO7 has 2620 (76.27%) missing values
AO8
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. AO8 has 2620 (76.27%) missing values
  2. AO8 has a high cardinality: 69 distinct values
AO9
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. AO9 has 2201 (64.08%) missing values
  2. AO9 has constant length 3
AO10
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. AO10 has 2701 (78.63%) missing values
AO11
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. AO11 has 2692 (78.37%) missing values
CN1
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. CN1 has constant length 3
CN2
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. CN2 has 2443 (71.12%) missing values
CN3
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. CN3 has 2431 (70.77%) missing values
  2. CN3 has constant length 3
CN4
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. CN4 has 2929 (85.27%) missing values
CN5
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. CN5 has 2929 (85.27%) missing values
CN6
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. CN6 has 2930 (85.3%) missing values
CN7
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. CN7 has 2930 (85.3%) missing values
  2. CN7 has constant length 3
AD1
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
AD2
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. AD2 has constant length 3
AD3
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. AD3 has 3343 (97.32%) missing values
  2. AD3 has a high cardinality: 67 distinct values
SS1
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. SS1 has 40 (1.16%) missing values
SS2
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. SS2 has 41 (1.19%) missing values
SS3
'hist.bins': 50
Number of bins in the histogram
'hist.yscale': 'linear'
Y-axis scale ("linear" or "log")
'hist.color': '#aec7e8'
Color
Column Insights
  1. SS3 has 2527 (73.57%) missing values
  2. SS3 is skewed
SS4
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. SS4 has 2513 (73.16%) missing values
SS5
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. SS5 has 2850 (82.97%) missing values
SS6
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. SS6 has 2850 (82.97%) missing values
SS6_Autre
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. SS6_Autre has 3415 (99.42%) missing values
SS7
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. SS7 has 3149 (91.67%) missing values
SS7_Autre
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. SS7_Autre has 3372 (98.17%) missing values
  2. SS7_Autre has a high cardinality: 55 distinct values
SS8
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. SS8 has 2513 (73.16%) missing values
SS9
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. SS9 has 3138 (91.35%) missing values
SS10
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. SS10 has 2513 (73.16%) missing values
SS11
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. SS11 has 48 (1.4%) missing values
SS12
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. SS12 has 2196 (63.93%) missing values
  2. SS12 has a high cardinality: 76 distinct values
PR1a
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. PR1a has 65 (1.89%) missing values
PR1b
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. PR1b has 65 (1.89%) missing values
PR1c
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. PR1c has 65 (1.89%) missing values
PR1d
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. PR1d has 65 (1.89%) missing values
PR1e
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. PR1e has 65 (1.89%) missing values
PR1f
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. PR1f has 65 (1.89%) missing values
PR1g
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. PR1g has 65 (1.89%) missing values
PR1h
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. PR1h has 65 (1.89%) missing values
PR2a
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. PR2a has 76 (2.21%) missing values
PR2b
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. PR2b has 76 (2.21%) missing values
PR2c
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. PR2c has 76 (2.21%) missing values
PR2d
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. PR2d has 76 (2.21%) missing values
PR2e
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. PR2e has 76 (2.21%) missing values
PR2f
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. PR2f has 76 (2.21%) missing values
PR2g
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. PR2g has 76 (2.21%) missing values
PR2h
'bar.bars': 10
Maximum number of bars to display
'bar.sort_descending': True
Whether to sort the bars in descending order
'bar.yscale': 'linear'
Y-axis scale ("linear" or "log")
Column Insights
  1. PR2h has 76 (2.21%) missing values
Pond
'hist.bins': 50
Number of bins in the histogram
'hist.yscale': 'linear'
Y-axis scale ("linear" or "log")
'hist.color': '#aec7e8'
Color

previous

COMPTAGE DES POISSONS DE LA PROVINCE DES ILES DEPUIS 2004

next

Recensement